The Inference Report

July 12, 2026

The SWE-rebench rankings show no movement from the previous snapshot, with OpenAI gpt-5.5-2026-04-23-xhighModel holding position one at 62.7% ± 0.91% and the top twenty entries unchanged in both order and score. Artificial Analysis data, however, reveals substantial repositioning across its 404-model roster, with Claude Fable 5 now leading at 59.9 (up from Claude Opus 4.8's prior prominence), GPT-5.6 Sol at 58.9, and Claude Opus 4.8 dropping to third at 55.7. The divergence between benchmarks raises questions about methodology: SWE-rebench measures software engineering task completion with confidence intervals tight enough to suggest controlled evaluation conditions, while Artificial Analysis scores lack published error margins and show model rankings that sometimes contradict SWE-rebench orderings (DeepSeek V4 Pro scores 44.3 on Artificial Analysis but 42.7% on SWE-rebench, for instance). The stability of SWE-rebench's top tier contrasts sharply with Artificial Analysis volatility, where mid-tier models shuffle frequently and smaller models cluster at single-digit scores with minimal differentiation. Without documentation of Artificial Analysis methodology, sample sizes, or evaluation protocols, the significance of its reordering remains unclear; the SWE-rebench data, by contrast, permits confidence in its findings because the uncertainty bands are explicit and the evaluation domain (code generation for real repository issues) is concrete and reproducible.

Cole Brennan

Daily rankings from SWE-rebench, a benchmark designed to fairly compare LLM capabilities on real-world software engineering tasks. Unlike other evaluations, it uses a standardized scaffolding for all models, continuously updates its dataset to prevent contamination, and runs each model five times to account for stochastic variance.

#ModelScore
1OpenAIgpt-5.5-2026-04-23-xhighModel62.7%± 0.91%
2JunieJunieAgent61.6%± 0.64%
3OpenAICodexAgent60.4%± 1.37%
4AnthropicClaude CodeAgent59.6%± 1.98%
5OpenAIgpt-5.5-2026-04-23-mediumModel58.9%± 0.78%
6AnthropicClaude Opus 4.8-xhighModel56.5%± 1.20%
7OpenAIgpt-5.4-2026-03-05-mediumModel54.9%± 1.02%
8AnthropicClaude Opus 4.7-highModel53.1%± 1.45%
9CursorCursorAgent53.0%± 0.53%
10AnthropicClaude Sonnet 4.6Model51.3%± 0.55%

Artificial Analysis composite index across coding, math, and reasoning benchmarks.

#ModelScoretok/s$/1M
1Claude Fable 559.969$20.00
2GPT-5.6 Sol58.991$11.25
3Claude Opus 4.855.762$10.00
4GPT-5.6 Terra55172$5.63
5GPT-5.554.870$11.25
6Grok 4.553.8111$3.00
7Claude Opus 4.753.552$10.00
8Claude Sonnet 553.480$4.00
9GPT-5.451.4158$5.63
10GPT-5.6 Luna51.2258$2.25

Output tokens per second — higher is faster. Minimum intelligence score of 40.

#Modeltok/s
1GPT-5.6 Luna258
2Gemini 3.5 Flash253
3Qwen3.7 Max200
4GLM-5.2196
5GPT-5.6 Terra172
6GPT-5.4 mini162
7GPT-5.4158
8GPT-5.2 Codex144
9Nex-N2-Pro142
10Gemini 3.1 Pro Preview141

Blended cost per 1M tokens (3:1 input/output) — lower is cheaper. Minimum intelligence score of 40.

#Model$/1M
1DeepSeek V4 Flash$0.175
2MiniMax-M3$0.525
3DeepSeek V4 Pro$0.544
4MiMo-V2.5-Pro$0.544
5Nex-N2-Pro$1.00
6MiMo-V2-Pro$1.50
7GPT-5.4 mini$1.69
8Kimi K2.6$1.71
9Kimi K2.7 Code$1.71
10Muse Spark 1.1$2.00